import asyncio
from argparse import ArgumentParser

from mmdet.apis import (
    async_inference_detector,
    inference_detector,
    init_detector,
    show_result_pyplot,
)


def parse_args():
    parser = ArgumentParser()
    parser.add_argument("img", help="Image file")
    parser.add_argument("config", help="Config file")
    parser.add_argument("checkpoint", help="Checkpoint file")
    parser.add_argument("--device", default="cuda:0", help="Device used for inference")
    parser.add_argument(
        "--score-thr", type=float, default=0.3, help="bbox score threshold"
    )
    parser.add_argument(
        "--async-test",
        action="store_true",
        help="whether to set async options for async inference.",
    )
    args = parser.parse_args()
    return args


def main(args):
    # build the model from a config file and a checkpoint file
    model = init_detector(args.config, args.checkpoint, device=args.device)
    # test a single image
    result = inference_detector(model, args.img)
    # show the results
    show_result_pyplot(model, args.img, result, score_thr=args.score_thr)


async def async_main(args):
    # build the model from a config file and a checkpoint file
    model = init_detector(args.config, args.checkpoint, device=args.device)
    # test a single image
    tasks = asyncio.create_task(async_inference_detector(model, args.img))
    result = await asyncio.gather(tasks)
    # show the results
    show_result_pyplot(model, args.img, result[0], score_thr=args.score_thr)


if __name__ == "__main__":
    args = parse_args()
    if args.async_test:
        asyncio.run(async_main(args))
    else:
        main(args)
